Update app.py

app.py

@@ -27,17 +27,36 @@ def process_audio(audio_file, num_speakers, model_size="medium", language="Engli
     with open(path, "wb") as f:
         f.write(audio_file.read())
     
+    print(f"Audio file saved to: {path}")
+    
     # Convert audio to WAV if it's not already
     if path[-3:] != 'wav':
         wav_path = path.replace(path.split('.')[-1], 'wav')
         subprocess.call(['ffmpeg', '-i', path, wav_path, '-y'])
         path = wav_path
 
+    print(f"Audio converted to: {path}")
+
     # Load Whisper model
-    model = whisper.load_model(model_size)
-    result = model.transcribe(path)
+    try:
+        model = whisper.load_model(model_size)
+        print("Whisper model loaded successfully.")
+    except Exception as e:
+        print(f"Error loading Whisper model: {e}")
+        return f"Error loading Whisper model: {e}"
+
+    try:
+        result = model.transcribe(path)
+        print(f"Transcription result: {result}")
+    except Exception as e:
+        print(f"Error during transcription: {e}")
+        return f"Error during transcription: {e}"
+
     segments = result["segments"]
 
+    # Remaining processing code...
+
+
     # Get audio duration
     with contextlib.closing(wave.open(path, 'r')) as f:
         frames = f.getnframes()